Yan Jiang

Physics-Informed Learning of Probabilistic Gegenbauer Reconstruction for Transport-Dominated Problems

A physics-informed machine-learning framework is proposed that predicts probability distributions over candidate Gegenbauer parameter pairs, enabling probabilistically weighted reconstruction while accounting for parameter uncertainty and achieves a more favorable accuracy--cost trade-off than problem-specific model re...